Class-Incremental Learning on CIFAR100 5 tasks
89.4AccuracyJoint
Evaluation Results
| Method | Links | |
|---|---|---|
| JointBackbone=CLIP ViT-B/16, Method Category=Baseline2026.05 | 89.4 | |
| TRMBackbone=CLIP ViT-B/16, Method Category=Model Merging2026.05 | 83.5 | |
| BECAMEYear=2025, Backbone=CLIP ViT-B/16, Method Category=Model Merging2026.05 | 80.9 | |
| MagMaxYear=2024, Backbone=CLIP ViT-B/16, Method Category=Model Merging2026.05 | 80.4 | |
| TIESYear=2023, Backbone=CLIP ViT-B/16, Method Category=Model Merging2026.05 | 79.8 | |
| RAPFYear=2024, Backbone=CLIP ViT-B/16, Method Category=PEFT2026.05 | 79.2 | |
| CLG-CBMYear=2025, Backbone=CLIP ViT-B/16, Method Category=PEFT2026.05 | 78.1 | |
| DualPromptYear=2023, Backbone=CLIP ViT-B/16, Method Category=PEFT2026.05 | 77.4 | |
| CODAPromptYear=2023, Backbone=CLIP ViT-B/16, Method Category=PEFT2026.05 | 77.3 | |
| L2PYear=2022, Backbone=CLIP ViT-B/16, Method Category=PEFT2026.05 | 77.2 | |
| Model StockYear=2024, Backbone=CLIP ViT-B/16, Method Category=Model Merging2026.05 | 76.5 | |
| Upper boundModel Inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | 70.59 | |
| Upper boundModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | 70.59 | |
| EWCYear=2017, Backbone=CLIP ViT-B/16, Method Category=Conventional2026.05 | 69.3 | |
| LwFYear=2017, Backbone=CLIP ViT-B/16, Method Category=Conventional2026.05 | 68.2 | |
| Zero-shotBackbone=CLIP ViT-B/16, Method Category=Baseline2026.05 | 66.7 | |
| REMIXModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 52.94 | |
| REMIXModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 52.94 | |
| PMIModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 52.38 | |
| PMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 52.38 | |
| PMI w/o CFSModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 52.05 | |
| PMI w/o CFSModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 52.05 | |
| R-DFCILModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 49.87 | |
| R-DFCILModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 49.87 | |
| ABDModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 48.84 | |
| ABDModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 48.84 | |
| DCMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 41.05 | |
| PRAKAModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | 37.74 | |
| SSREModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | 30.39 | |
| DeepInversionModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 20.48 | |
| DeepInversionModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 20.48 |